Static Analyzer for Solidity
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slither/utils/similarity/plot.py

78 lines
2.2 KiB

import logging
import sys
import traceback
import operator
import numpy as np
import random
try:
from sklearn import decomposition
import matplotlib.pyplot as plt
except ImportError:
decomposition = None
plt = None
from fastText import load_model
from .encode import load_and_encode, parse_target
logger = logging.getLogger("Slither-simil")
def plot(args):
if decomposition is None or plt is None:
logger.error("ERROR: In order to use plot mode in slither-simil, you need to install sklearn and matplotlib:")
logger.error("$ pip3 install sklearn matplotlib --user")
sys.exit(-1)
try:
model = args.model
model = load_model(model)
filename = args.filename
#contract = args.contract
contract, fname = parse_target(args.fname)
#solc = args.solc
infile = args.input
#ext = args.filter
#nsamples = args.nsamples
if fname is None or infile is None:
logger.error('The plot mode requieres fname and input parameters.')
sys.exit(-1)
logger.info('Loading data..')
cache = load_and_encode(infile, **vars(args))
data = list()
fs = list()
logger.info('Procesing data..')
for (f,c,n),y in cache.items():
if (c == contract or contract is None) and n == fname:
fs.append(f)
data.append(y)
if len(data) == 0:
logger.error('No contract was found with function %s', fname)
sys.exit(-1)
data = np.array(data)
pca = decomposition.PCA(n_components=2)
tdata = pca.fit_transform(data)
logger.info('Plotting data..')
plt.figure(figsize=(20,10))
assert(len(tdata) == len(fs))
for ([x,y],l) in zip(tdata, fs):
x = random.gauss(0, 0.01) + x
y = random.gauss(0, 0.01) + y
plt.scatter(x, y, c='blue')
plt.text(x-0.001,y+0.001, l)
logger.info('Saving figure to plot.png..')
plt.savefig('plot.png', bbox_inches='tight')
except Exception:
logger.error('Error in %s' % args.filename)
logger.error(traceback.format_exc())
sys.exit(-1)